• Finally, the random error model of HRG is established by using time series analysis method.

    最后,采用时间序列分析方法建立了半球谐振陀螺的随机误差模型。

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  • The reliability of the time-series analysis method in processing unsteady random signals is verited.

    验证了时间序列分析方法在非平稳随机信号处理方面的可靠性;

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  • An ARMA innovation model and the state optimal filter are designed by modern time series analysis method.

    结合现代时间序列分析方法,并根据新息模型设计了状态最优滤波器。

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  • The multi-dimension AR series analysis method used in fire control system precision was illustrated in this paper.

    应用多维AR分析方法,解决了影响火控精度及其各影响因素的函数关系;

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  • Time series analysis method is a main method by which deformation forecasting model is established in deformation measurements.

    时间序列分析方法是建立变形测量预测模型的主要方法。

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  • At present, the time series analysis method often USES AR or ARMA model, this method is very complicated and difficult to apply.

    目前时间分析方法多采用AR或ARMA模型,但由于实际问题错综复杂,导致模型求解困难,实际中难以应用。

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  • The random settlement could be gotten by random prediction model that is established by smooth and stable time series analysis method.

    用平稳时间序列分析方法建立随机部分模型,并预测沉降随机部分值,二者之和即为某时期沉降预测值。

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  • The case study shows that the time series analysis method is an effective and practical one for groundwater resources evaluation and system management.

    实例研究表明,应用时间序列分析法模拟地下水资源系统,进行地下水资源评价和系统管理简单、易行、省时、省力。

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  • Time series analysis method is playing an important role in hydrologic regular analysis and hydrologic analogy as well as hydrologic forecasting and so forth.

    时间序列分析法在水文规律分析、水文模拟以及水文预报等许多方面都起着重要作用。

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  • Based on the state space analysis, the time series analysis method for identification of the stochastic continuous signals, proved as consistent convergence, is given.

    基于状态空间分析,给出了连续随机信号建模的时间序列分析方法,并证明了参数估计的一致收敛性。

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  • The compressor exit total pressure is adopted as a characteristic signal to detect surges. An ar (autoregressive) model is constructed with the time series analysis method.

    以压气机出口总压作为喘振检测特征信号,采用时间序列分析方法建立了AR模型。

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  • The nonlinear dynamic theory and the chaotic time series analysis method were adopted to examine the nonlinear characteristics of strong earthquake ground motions in this paper.

    引入非线性动力学理论和混沌时间序列分析方法考察强震地面运动加速度时程的非线性特征。

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  • Using the Houzhai karst watershed in Guizhou Province as an example, a time series analysis method was used to study the hydrodynamic characteristics of the karst aquifer system.

    以贵州后寨典型岩溶小流域为例,采用时间序列分析方法分析了岩溶含水系统的水动力特征。

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  • The time-space series analysis method containing randomicity on the base of continuity is formed after the analysis systems of time series, space series and fractals are compared.

    对比研究了时间序列、空间序列、分形的分析体系,提出了在连续性基础上包容随机性的时空序列分析方法。

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  • Using the modern time series analysis method, this paper presents a new self - tuning deconvolution filter for unknown multivariable ARMA signal observed through a known linear system.

    本文用现代时间序列分析方法,对于通过已知线性系统被观测的未知多变量arma信号,提出了一种新的自校正去卷滤波器。

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  • The paper is to organically combine the time series analysis method and neural network technology in the fuzzy control technology and fractal theory to predict mine gas emission quantity.

    将模糊控制技术、分形理论中的时间序列分析方法与神经网络技术有机地结合起来,并运用于矿井瓦斯涌出量的预测中。

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  • Objective the research aims to investigate the application of time series analysis method on time series datum, and establish forecasting model on cholecystitis incidence rate in Haixizhou region.

    目的探讨时间序列分析方法在时间序列资料中的应用,建立海西州地区胆囊炎发病率的预测模型。

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  • In this paper, the theory and method of fuzzy time series analysis are presented, the model form and the parameters estimate problem are studied.

    本文提出了模糊时间序列分析的理论和方法,研究了模型形式及其参数估计问题。

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  • City gas load is a multi-mode and complicated engineering system. This paper analyzes and estimates the gas load of Shenzhen by using method of time series analysis.

    城市燃气负荷是一个多工况、复杂的工程系统,本文采用时间序列方法对深圳的燃气负荷进行了分析和预测。

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  • The qualitative error analysis of the mechanical navigation system was implemented using Taylor series expansion method after introduction of the system characters.

    在分析机构导航误差的基础上,提出用泰勒级数展开法对机构导航系统的误差进行定性分析;

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  • Based on the theory of modal superposition and power series expansion, a modal superposition method for the sensitivity analysis of FRF is proposed in this paper.

    基于模态展开和幂级数展开原理,提出了一种频响函数灵敏度分析的模态展开法。

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  • Time series analysis is an important method of the dynamic data analysis which has extensive researches and usages in many subject fields.

    时间序列分析是动态数据分析的重要方法,在多学科领域中得到广泛的研究和运用。

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  • A forecast instance indicates that compared with the traditional time series analysis, the present forecast method can carry out more accurate forecast of vibration response trends.

    预测实例表明,相比于传统的时间序列分析方法,这种预测方法能对振动响应的趋势进行更准确的预测。

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  • Stationary time series state space modeling method for the analysis of the transition process gyro.

    将非平稳时间序列的状态空间建模方法用于陀螺过渡过程的分析。

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  • The concept of sparse symbolic time series analysis was brought in and the method and procedure for implementation of the analysis was proposed.

    引入稀疏混沌时间短序列概念,提出了稀疏符号时间序列分析方法与实现流程。

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  • On the basis of traditional time series analysis and modeling methods, the thesis puts forward a new complete and simply identification method by using ar model.

    本文在传统时间序列分析建模方法的基础上,提出了用AR模型的新的完整而又简单的辨识方法。

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  • Furthermore, a random drift error model for IFOG is built by the method of time series analysis.

    此外,采用时间序列分析方法,建立了IFOG的随机漂移误差模型。

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  • This article demonstrates that deformation forecast will be performed by a comprehensive method of non linear regression model combined with time series analysis.

    本文将讨论综合运用非线性回归模型和时间序列分析的方法进行变形预报。

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  • The EEG in lead - administrated rats is measured and analyzed using the method of chaotic time series analysis in this paper. The fractal dimension of EEG is determined.

    利用混沌时间序列的分析方法,对铅中毒情况下的大鼠的脑电波进行了测试和分析,求出了其分形维数。

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  • The disadvantage of establishing ARMA model with traditional time series analysis is analyzed; a new model building method based on judgment rules and long autoregression is put forward.

    分析了传统时间序列分析法建立ARMA模型的不足,提出了一种利用模型阶数判断准则和长自回归法建模的新方法。

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